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Ligue 1 24/25
AM

Amar Dedić

Defender NewcastleLigue 1 24/25

Also in: Premier League

Next match
Newcastle at Troyes›
Sun 11 OctReferee Guillaume Paradis

Shot map Foul map

Last games
max 10 on record
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

All markets last 10 games

Compared with a Ligue 1 defender, 25/26, 2,867 appearances

Bet line
MarketHit rateModel
Shots on target0.58 per 90
20%
2 of 101.8×
Total shots1.75 per 90
50%
5 of 101.6×
Fouls won0.58 per 90
20%
2 of 100.5×
Fouls committed2.04 per 90
50%
5 of 100.9×
Tackles1.46 per 90
30%
3 of 100.4×
10%
1 of 103.2×
Cards0.29 per 90
10%
1 of 100.6×
Goals0.00 per 90
0%
0 of 10
form only
Assists0.29 per 90
10%
1 of 102.6×
form only
No bookmaker prices for this fixture yet. Player markets are usually priced closer to kickoff, and not every fixture carries every market. The hit rates and match-up above are complete either way.
Hit rate, per-90 and the market price are free. Switch the bet line above — each carries its own price where the bookmaker offers one. What’s paid is the model’s edge: whether that price is wrong. Rare tails the model can’t beat, like 3+ on target, stay hit-rate-only.

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Picked from 20 selections across 10 matches on this week’s slate, each with its record and the market price.

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Over the last 10 Ligue 1 games, Amar Dedić has hit 1+ shot on target in 20% (2 of 10), 1+ total shot in 50%, 1+ foul committed in 50%, 1+ foul won in 20%, and been booked in 10% (1 of 10). These are raw hit rates from completed matches, not odds.

last 10

Comparable full-backs

Amar Dedić has no Ligue 1 record yet, so this profile is drawn from the UEFA Champions League 25/26 season. These are the closest 5 Ligue 1 full-backs by standing within their own league — not by matching output, which does not carry across leagues. A reference for the rates above, not a forecast.

PlayerAppsShots/90Fouls/90
Amar DedićNewcastle UnitedUEFA Champions League 100.67 1.34
Jacques EkomiéWrexham 320.48 1.21
Lamine SyAuxerre 240.75 1.39
Timothy WeahOlympique de Marseille 291.15 1.27
Marvin SenayaAuxerre 250.76 1.31
Ainsley Maitland-NilesEverton 300.51 1.34
These 5, combined 0.72 1.30

Recent matches

The last 10 games Amar Dedić featured in — minutes and the counts that settle these markets.

MatchMinSoTShots FoulsWonTckCards
Stade Rennais17 May 26 0 0 1 0 0 1
@ AS Monaco12 Apr 30 0 1 0 0 2 0
Toulouse6 Apr 1 0 0 0 0 0 0
@ Stade de Reims29 Mar 45 1 1 0 0 0 0
@ Paris Saint-Germain16 Mar 63 0 0 3 0 2 0
RC Lens8 Mar 45 0 1 1 1 0 0
Nantes2 Mar 31 0 2 0 1 0 0
@ Auxerre22 Feb 29 0 0 1 0 1 0
Saint-Étienne15 Feb 24 1 1 1 0 0 0
@ Angers9 Feb 15 0 0 0 0 0 0

Frequently asked

How often does Amar Dedić have a shot on target?

Over the last 10 Ligue 1 games, Amar Dedić has hit 1+ shot on target in 20% (2 of 10). That's the raw hit rate from completed matches; SharpXI's model turns it into a true probability by adjusting for the opponent and expected minutes, then compares it with the bookmaker's price as offered.

How many shots on target does Amar Dedić average?

Across the last 10 Ligue 1 games, Amar Dedić is averaging 0.58 shots on target and 1.75 total shots per 90 minutes. SharpXI treats that as a starting rate, then adjusts for the opponent and expected minutes before pricing a 1+ or 2+ line.

How often does Amar Dedić get booked?

Amar Dedić is averaging 0.29 cards per 90 over the last 10 games. Bookings swing heavily on the referee, so the model multiplies a player's base rate by each official's card tendency — the biggest single lever in the to-be-carded market.

Does Amar Dedić commit or win more fouls?

Over the last 10 games Amar Dedić commits 2.04 fouls per 90 and wins 0.58 — committing more than winning. Fouls committed and fouls won are separate markets, each modelled from the player's rate and the opponent faced.

Which player markets does SharpXI model for Amar Dedić?

Shots on target, total shots, fouls committed, fouls won and to be carded — each as a true probability, compared with the bookmaker's price as offered. Amar Dedić plays as a defender.

Rates shown are raw counts from public match data for context; the model adds shrinkage, opponent and referee factors before flagging value, and compares against the bookmaker's price as offered — player markets are priced one side only, so that price still carries the bookmaker's margin. 18+ — please gamble responsibly.